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You cannot really compare the two. An engineer will continue to learn and adapt their output to the teams and organizations they interact with. They will be sea
by theK 1y ago
You cannot really compare the two. An engineer will continue to learn and adapt their output to the teams and organizations they interact with. They will be seamlessly picking up core principles, architectural nouances and verbiage of the specific environment. You need to explicitly pass all that to an llm and all approaches today lack.
Most importantly, an engineer will continue accumulating knowledge and skills while you interact with them. An llm won't.
- jasonshen 1y agoWith ChatGPT explicitly storing "memory" about the user and access to the history of all chats, that can also change. Not hard to imagine an AI-powered IDE like Cursor understanding that when you reran a prompt or gave it an error message it came to understand that its original result was wrong in some way and that it needs to "learn" to improve its outputs.
- theK 1y agoMaybe. I'd wager the next couple of generations of inference architecture will still have issues with context on that strategy. Trying to work with the state of the art models at their context boundaries quickly descends into gray goop like behavior for now and I don't see anything on the horizon that changes that rn.
- nottorp 1y agoHuman memory is new neural paths. LMM "memory" is a larger context with unchanged neural paths.